merrymercy / awesome-tensor-compilersLinks
A list of awesome compiler projects and papers for tensor computation and deep learning.
☆2,598Updated 8 months ago
Alternatives and similar repositories for awesome-tensor-compilers
Users that are interested in awesome-tensor-compilers are comparing it to the libraries listed below
Sorting:
- Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisati…☆1,570Updated last month
- compiler learning resources collect.☆2,438Updated 3 months ago
- The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.☆1,577Updated last week
- ☆1,894Updated last year
- An MLIR-based compiler framework bridges DSLs (domain-specific languages) to DSAs (domain-specific architectures).☆607Updated last month
- how to optimize some algorithm in cuda.☆2,309Updated this week
- MLIR For Beginners tutorial☆1,009Updated 5 months ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆989Updated 9 months ago
- A retargetable MLIR-based machine learning compiler and runtime toolkit.☆3,209Updated this week
- Hands-On Practical MLIR Tutorial☆521Updated last year
- This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…☆1,088Updated last year
- BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.☆875Updated 6 months ago
- Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure☆883Updated this week
- Dive into Deep Learning Compiler☆646Updated 3 years ago
- A list of tutorials, paper, talks, and open-source projects for emerging compiler and architecture☆471Updated 5 months ago
- row-major matmul optimization☆640Updated last year
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆1,391Updated this week
- Awesome resources for GPUs☆572Updated 2 years ago
- The Tensor Algebra SuperOptimizer for Deep Learning☆719Updated 2 years ago
- Fast CUDA matrix multiplication from scratch☆764Updated last year
- ☆610Updated last year
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,399Updated this week
- A machine learning compiler for GPUs, CPUs, and ML accelerators☆3,341Updated this week
- Mirage: Automatically Generating Fast GPU Kernels without Programming in Triton/CUDA☆1,540Updated this week
- BLISlab: A Sandbox for Optimizing GEMM☆531Updated 4 years ago
- Distributed Compiler based on Triton for Parallel Systems☆870Updated last week
- 🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Mod…☆3,081Updated last month
- how to learn PyTorch and OneFlow☆441Updated last year
- A model compilation solution for various hardware☆438Updated 3 weeks ago
- A simple high performance CUDA GEMM implementation.☆384Updated last year